Data Engineer

Take a chance to join the dynamic and agile team responsible for Information Delivery! If you are passionate and thoughtful Data engineer who have a background in digital technologies and is seeking for exciting possibilities to apply your know-how in the financial world, then we have an outstanding opportunity for YOU. 

Curious to learn more? Let’s dive in!

About the Role 

As Data Engineer be ready to bring new insights and broaden our experience-base in new technologies and the latest software and Data engineering trends. You will be working closely with our Product Teams to co-create, extend and maintain Data enabled services, from conceptual design to solution architecture to implementation and operation of Data Products platform. 

Your key responsibilities: 

• Work with Data Products platform and with colleagues across Asset Management in the development of Data enabled products, aligned with our reference architecture and design principles 
• Be a trusted partner in the assessment and definition of requirements. Translate into design artifacts 
• Implement advanced use cases and build prototypes 
• Create and maintain automated test cases to build & maintain regression test suites 
• Establish and manage the solution documentation 
• Plan solution deployment and rollout, including risk & impact analysis for implementation 
• Ensure agreed agile collaboration principles are applied & improved across your squad 
• Support team members in their growth, contributing to an environment that cares for continuous learning and improvement 

About the Team 

At the heart of Asset Management, the Information Delivery team powers the flow of data across the organization. We’re responsible for ingesting, transforming, enriching, and cleansing data to ensure it’s accurate, accessible, and actionable. Our work enables seamless operations for users and downstream systems and lays the foundation for cutting-edge analytics and AI solutions.

If you're passionate about building robust data pipelines and enabling smarter decision-making through high-quality data, you’ll thrive here. Join us to shape the future of data-driven Asset Management.

As part of Swiss Re's Asset Management Digital & Tech organization, we work in a scaled agile model with a shared leadership team and broadly aligned autonomy for our squads. We are located across the globe but share the same values of passion, openness, respect, humility, and curiosity in our team. We strive to improve the quality of our work for our customers every day. As a matter of trust, we give you a high degree of flexibility which matches your independent working style. Is this for you? Then we want to get to know you! 

About You 

You’re passionate about engineering and data practices, and you fully understand the value of ETL processes in delivering accurate, reliable, and accessible data. You have a solid technical foundation in data platforms such as Palantir Foundry and relational databases—ideally PostgreSQL.

You thrive in a strong engineering culture, enjoy working in multicultural teams, and actively support your teammates in reaching their full potential. You’re eager to share knowledge, contribute to team growth, and help elevate our agile maturity.

Essentials: 

• Strong understanding of data modelling, ETL processes and data warehousing concepts 
• Hands-on experience with data processing frameworks and libraries, particularly PySpark, Polars, and Pandas
• Strong programming skills in Python 
• Experience with Palantir Foundry, Databricks or similar 
• Strong SQL skills and experience working with relational databases, preferably PostgreSQL
• Knowledge of automated testing, data quality controls, and version control
• Proficiency in English (written and spoken) 
• Live a continuous improvement mind-set 
• Entrepreneurial, team player with a can-do attitude 
• Good communication and presentation skills 

Nice to haves: 

• Solid applied knowledge of Agile methods, frameworks, and tools 
• Experience with MSBI
• Software architecture and understanding of tech stacks 
• DevSecOps practices 

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.

For Slovakia the base salary range for this position is between [EUR 2,400] and [EUR 4,100] per month (for a full-time role). The specific salary offered considers:​

• the requirements, scope, complexity and responsibilities of the role, ​

• the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience.​

In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.​

Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.​

Take a next step in your career and hit APPLY button. We are looking forward to reviewing your application! 

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.